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  xmlns:dcterms="http://purl.org/dc/terms/"><dc:Title>Nonparametric statistical methods / [electronic resource]</dc:Title>
<dc:Creator>Hollander, Myles.</dc:Creator>
<dc:Creator>Wolfe, Douglas A.</dc:Creator>
<dc:Creator>Chicken, Eric, 1963-</dc:Creator>
<dc:Subject>Nonparametric statistics.</dc:Subject>
<dc:Subject>QA278.8</dc:Subject>
<dc:Subject>519.5 23</dc:Subject>
<dc:Description>"Written by leading statisticians, this new edition has been completely updated to include additional modern topics and procedures, more real-world data sets, and more problems from real-life situations. Incorporating the R software program, this user-friendly book provides readers with an arsenal of nonparametric techniques, helping them develop the insight needed to choose appropriate procedures for various situations. It features five new chapters with added-on topics including Density Estimation, Kernel Regression, Nonparametric Regression, Ranked-Set Sampling, and Bayesian Nonparametrics"-- Provided by publisher.</dc:Description>
<dc:Description>Includes bibliographical references and indexes.</dc:Description>
<dc:Description>Description based on print version record and CIP data provided by publisher.</dc:Description>
<dc:Description>"In this third edition we have improved the eleven chapters of the second edition and added five new chapters. Also organized all of the R programs used in this third edition into a documented collection that is formally registered as an R package specifically linked to this third edition. "-- Provided by publisher.</dc:Description>
<dc:Date>2013</dc:Date>
<dc:Type>Text</dc:Type>
<dc:Format>1 online resource.</dc:Format>
<dc:Identifier>http://onlinelibrary.wiley.com/book/10.1002/9781119196037</dc:Identifier>
<dc:Language>eng</dc:Language>
<dc:Relation>Wiley series in probability and statistics.</dc:Relation>
<dc:Relation>Wiley series in probability and statistics.</dc:Relation>
<dc:Relation>Nonparametric statistical methods.</dc:Relation>
<dc:Relation>Nonparametric statistical methods.</dc:Relation>

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